1. Deploy the hive-storage helm chart on Kubernetes


    To deploy the hive-storage Helm chart on a Kubernetes cluster using Pulumi, we will utilize the @pulumi/kubernetes package. This package allows us to interact with Kubernetes resources in a programmatic way using TypeScript. Today, we'll cover the steps and the code necessary to deploy a Helm chart.

    Here is the high-level overview of what we will do:

    1. Import the necessary Pulumi and Kubernetes modules.
    2. Create a Kubernetes provider instance.
    3. Deploy the hive-storage Helm chart using Pulumi's Chart resource.

    We'll assume you already have a Kubernetes cluster running and that you have the kubeconfig file correctly configured on your machine to point to your Kubernetes cluster. Here's how you can do it step by step:

    Step 1: Set up a Pulumi Project

    Before running the Pulumi code, you need a Pulumi project. You can create a new one by running pulumi new in your command line and choosing the appropriate template (like typescript). This sets up the project structure and configuration including installing node modules.

    Step 2: Write the Pulumi Code

    import * as k8s from '@pulumi/kubernetes'; // Create a Kubernetes provider instance using the current context in kubeconfig const provider = new k8s.Provider('k8s-provider', { kubeconfig: k8s.config.kubeconfig, }); // Deploy the hive-storage helm chart const hiveStorageChart = new k8s.helm.v3.Chart('hive-storage', { // Specifying the chart name chart: 'hive-storage', // Assumed that the Hive chart is in a Helm repo that has been added to your Helm config // If you have not done this, you would need to specify the repo where the chart can be found // For example: repo: "https://charts.example.com/" // If your chart is local, you would specify `path` instead of `repo` // The `version` field is optional; if omitted, the latest version will be installed values: { // Place your desired chart values here }, }, { provider }); // Export the name of the chart so we can easily access it later export const chartName = hiveStorageChart.metadata.name;

    Step 3: Deploy with Pulumi

    After writing your code to a file (e.g., index.ts), run it using Pulumi CLI commands:

    • Install node modules with npm install (if you haven't already).
    • Preview the changes with pulumi preview.
    • Deploy the changes with pulumi up.

    Explanation of the Pulumi Program:

    In the Pulumi program above:

    • We import the Kubernetes package from Pulumi which is required to interact with Kubernetes resources.
    • We create a Kubernetes provider that allows Pulumi to communicate with the Kubernetes cluster using the current context from your kubeconfig. This step is crucial as it ensures that Pulumi knows where to deploy resources.
    • We create a Chart resource, which is Pulumi’s representation of a Helm chart. In the chart property we specify the name of the Helm chart we want to deploy (in this case, hive-storage).
    • The values object would contain any configuration overrides that are specific to the hive-storage chart. You need to fill this in according to your storage requirements.
    • We then export the name of the chart so that we can reference the deployed resources easily.

    Additional Observations:

    • If the Helm chart you wish to deploy is not from a public repository or the official Helm stable repository, you need to specify the repo within the Chart arguments where the chart can be found, or use the path argument if it is stored locally.
    • It’s important to note that this code does not include error handling, which should be implemented in a production environment.
    • The exact values you need to provide to your Helm chart will depend on the specifics of the hive-storage chart and the configuration it requires.

    Remember that this code is meant to interact with a Kubernetes cluster to which you have access, and will perform changes to the cluster based on the Helm chart provided. Always review Helm chart values and configurations to ensure they suit your requirements before deploying.